1. What is your favorite data management tool at the moment?
2. Why should we hire you?
3. What are your salary expectations?
4. What would you consider your technical specialty?
5. Tell me about a time where you had to analyze a set of data and then make a recommendation.
6. In your opinion, what is the most exciting collaboration between data analysis and artificial intelligence in the past year?
7. What steps do you take when you have to make an immediate decision without all the relevant information?
8. Unexpected issues arise often in the technology industry, and you must be able to quickly adapt. In your opinion, what makes you a great problem solver?
9. Which tech blogs do you subscribe to?
10. How do you react when your team misses a deadline?
11. Do you have experience giving product demonstrations, and closing new accounts?
12. Explain data visualization, and why it is important to a business.
13. Great data visualization will present data in a convincing way. How do you improve human perception when presenting data?
14. Looker often introduces new tools. Have you ever helped to implement a new tool or program?
15. Walk me through your experience in databases, predictive modeling, and business intelligence. In which of these areas are you best versed?
16. What do you know about Looker's competitive position within the data analytics industry?
17. How does data drive a business' success?
18. What is pervasive business intelligence, and what does it mean to you?
19. Looker fosters a collaborative working environment. When have you taken the time to teach an essential skill to a coworker?
20. Part of our business is in big data, which is continuously changing as new technology and products enter the market. How do you keep up-to-date on these changes?
21. How could a business use the data visualization services of Looker to prospect and generate new leads?
22. What is your approach to working with a large amount of information/data?
23. Tell me about a time you took charge of a project. Discuss one positive and one negative outcome from the experience.
24. In your opinion, is data a true asset for a business. Why or why not?
25. How do you prioritize multiple projects when they all seem equally important?